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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 18109
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    INDEX
    Explanations

    references to high speed or velocity

    oai_token-act-pair · gpt-3.5-turbo

    units of speed measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prim
    -0.72
     Selection
    -0.67
     annexed
    -0.62
    listed
    -0.62
    draw
    -0.61
     organising
    -0.61
     subscribed
    -0.60
     Emer
    -0.60
     Resource
    -0.60
     Kir
    -0.59
    POSITIVE LOGITS
     mph
    3.60
    mph
    3.28
     MPH
    2.77
     knots
    1.36
     miles
    1.34
    mile
    1.25
     mile
    1.23
     speeds
    1.20
     rpm
    1.20
     horsepower
    1.17
    Activations Density 0.009%

    No Known Activations